class_docstr: An execution of a data-science workflow with an experiment.
  
  Consists of a list of trial component objects, which document individual
  activities within the workflow.
  
  Attributes:
      trial_name (str): The name of the trial.
      experiment_name (str): The name of the trial's experiment.
      display_name (str): The name of the trial that will appear in UI,
          such as SageMaker Studio.
      tags (List[Dict[str, str]]): A list of tags to associate with the trial.
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docstr: Load an existing trial and return a `_Trial` object.
  
  Args:
      trial_name: (str): Name of the Trial.
      sagemaker_session (sagemaker.session.Session): Session object which
          manages interactions with Amazon SageMaker APIs and any other
          AWS services needed. If not specified, one is created using the
          default AWS configuration chain.
  
  Returns:
      experiments.trial._Trial: A SageMaker `_Trial` object
docstr_tok: ["Load","an","existing","trial","and","return","a","`","_Trial","`","object",".","Args",":","trial_name",":","(","str",")",":","Name","of","the","Trial",".","sagemaker_session","(","sagemaker.session.Session",")",":","Session","object","which","manages","interactions","with","Amazon","SageMaker","APIs","and","any","other","AWS","services","needed",".","If","not","specified",",","one","is","created","using","the","default","AWS","configuration","chain",".","Returns",":","experiments.trial._Trial",":","A","SageMaker","`","_Trial","`","object"]
code: def load(cls, trial_name, sagemaker_session=None):
      """Load an existing trial and return a `_Trial` object.
  
      Args:
          trial_name: (str): Name of the Trial.
          sagemaker_session (sagemaker.session.Session): Session object which
              manages interactions with Amazon SageMaker APIs and any other
              AWS services needed. If not specified, one is created using the
              default AWS configuration chain.
  
      Returns:
          experiments.trial._Trial: A SageMaker `_Trial` object
      """
      return super(_Trial, cls)._construct(
          cls._boto_load_method,
          trial_name=trial_name,
          sagemaker_session=sagemaker_session,
      )
  
file_path: sagemaker-python-sdk/src/sagemaker/experiments/trial.py
imports: from __future__ import absolute_import
  from botocore.exceptions import ClientError
  from sagemaker.apiutils import _base_types
  from sagemaker.experiments import _api_types
  from sagemaker.experiments.trial_component import _TrialComponent
  from sagemaker.utils import format_tags
label_desc: Use image node_id 4 for calling the _Trial obj's underlying member method code with example usage: obj.load(cls, trial_name, sagemaker_session) and returns: super